84 research outputs found
The State of Teacher Education in France: A Critique
No full textPradeep Kumar Misra, The State of Teacher Education in France: A Critique, FMSH-WP-2014-58, january 2014. Pour télécharger ce document sur HALSHS The author Dr. Pradeep Kumar Misra is an Associate Professor in the Faculty of Education and Allied Sciences of M.J.P. Rohilkhand University, Bareilly, India. His research specializations are Teacher Education, Educational Technology and Lifelong Learning. Acknowledgements I am extremely grateful to the Fondation maison des Sciences de l'Homme (FMSH..
The State of Teacher Education in France: A Critique
No full textPradeep Kumar Misra, The State of Teacher Education in France: A Critique, FMSH-WP-2014-58, january 2014. Pour télécharger ce document sur HALSHS The author Dr. Pradeep Kumar Misra is an Associate Professor in the Faculty of Education and Allied Sciences of M.J.P. Rohilkhand University, Bareilly, India. His research specializations are Teacher Education, Educational Technology and Lifelong Learning. Acknowledgements I am extremely grateful to the Fondation maison des Sciences de l'Homme (FMSH..
An analysis of the marketing strategy of American motors corporation from a local frame of reference, 1969
No full textTalking Trucks: Decentralized Collaborative Multi-Agent Order Scheduling for Self-Organizing Logistics
No full textLogistics planning is a complex optimization problem involving multiple decision makers. Automated scheduling systems offer support to human planners; however state-of-the-art approaches often employ a centralized control paradigm. While these approaches have shown great value, their application is hindered in dynamic settings with no central authority. Motivated by real-world scenarios, we present a decentralized approach to collaborative multi-agent scheduling by casting the problem as a Distributed Constraint Optimization Problem (DCOP). Our model-based heuristic approach uses message passing with a novel pruning technique to allow agents to cooperate on mutual agreement, leading to a near-optimal solution while offering low computational costs and flexibility in case of disruptions. Performance is evaluated in three real-world field trials with a logistics carrier and compared against a centralized model-free Deep Q-Network (DQN)-based Reinforcement Learning (RL) approach, a Mixed-Integer Linear Programming (MILP)-based solver, and both human and heuristic baselines. The results demonstrate that it is feasible to have virtual agents make autonomous decisions using our DCOP method, leading to an efficient distributed solution. To facilitate further research in Self-Organizing Logistics (SOL), we provide a novel real-life dataset.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Algorithmic
Co-creating Responsible Energy Systems
No full textEnergy system projects in countries like India are often failing. Not only because of technical or economical barriers, but mainly institutional and social issues are at the base of these failures. A co-creation, or participatory, process to align all demands and requirements of the different stakeholders is required. This paper takes evidence from literature on co-creation and energy systems and from case study research in India to help define an approach towards such a co-creation process as a use case for the application of the Responsible Innovation Systems framework. A discussion on co-creation as a solution generates a number of recommendations, after which a set of characteristics is concluded that the co-creation process of energy systems should have towards a responsible approach, so that more robust and sustainable innovations might emerge.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Energy and IndustryDelft Centre for Entrepreneurshi
Hypervalent iodine mediated solid state synthesis of 2-aryl-5- [2-(3,4,5-trimethoxyphenyl)[1,8]naphthyridin- 3-yl]-1,3,4-oxadiazoles
No full text635-639The hydrazones 5 on oxidative cyclization of with [PhI(OAc)2] in the solid state at room temperature under grinding
conditions has furnished the respective 2-aryl-5-[2-(3,4,5-trimethoxyphenyl)[1,8]naphthyridin-3-yl]-1,3,4-oxadiazoles 6 in
good yields without any undesirable byproducts. The purity of the products is high. The method is preoperatively
convenient, useful and environmentally benign. The experimental procedure is very simple and avoids sophistication. The
most probable mechanism of above transformation is suggested. The structure of compounds 5 and 6 has been confirmed by
their spectroscopic(IR, 1H NMR and MS) and analytical data
Structural and electronic properties of LaPd2As2 superconductor: First-principle calculations
No full textFormulation and Evaluation of Itraconazole Nanocapsules
Get PDFAn objective of a present research has been able to prepare as well as analyze Itraconazole Nanocapsules through using emulsion solvent evaporation method. Itraconazole has been overfilled of ethyl cellulose & hydroxypropyl methylcellulose Nanocapsules and that was able to prepare through emulsion solvent evaporation technique. The outcomes like Fourier transform infrared implied a steady identity like Itraconazole Nanocapsules filled as for ethyl cellulose Nanocapsules and then also absence like drug - excipient interplay. Compatibility research findings like FTIR & differential scanning have been used to start investigating that there's no incompatability inside the composition. A morphometric size of the particles like Itraconazole Nanocapsules has been done through SEM. Nanocapsules has been analyzed such as total composition codes has been f1 to f8. A % yield has been obtained to be 73.22% to 88.91%. Drug content has been 65.9 to 98.4%. A size of the particles like Nanocapsules 80 µm to 22 µm, drug entrapment efficiency has been 54.3% to 91.3 %, a drug loading capabilities has been 97.8% to 56.9%. A swellability studies has been 0.6 sec to 1.6 sec. in vitro dissolution studies like best formulation f8 has been did find of being 61.78%. An In-vitro drug dissolution obtained data has been equipped to numerous mathematical equations such like zero order, 1st order, higuchi matrix & korsmeyer peppas model. Itraconazole Nanocapsules continues to follow model having r2 value has been 0.937, 0.399, 0.899, 0.785 & m value has been 1593, 0.061, 11409, 2.560. The discharge of drug out from Nanocapsules increased up of about 45 mints. Itraconazole loaded as for ethyl cellulose & HPMC Nanocapsules have been able to prepare below optimum condition and it display great discharge characteristic features
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